239 results about "Observation method" patented technology

The invention discloses a space-based directional observation method and device based on orbit precision evaluation. The method comprises the following steps: acquiring fixed star angular distance measurement data information, a Ka-band inter-satellite link observation value and an L-band satellite-ground link observation value of a Beidou satellite; using the information to construct a multi-dimensional observation matrix and carrying out resolving processing to obtain satellite position parameters corresponding to the three space-based directional observation modes; and performing comparison processing on the satellite position parameters by taking an MGEX precise ephemeris as a comparison baseline to obtain an optimal observation mode. Therefore, three space-based directional observation modes are provided, the orbit precision is used as an evaluation criterion, an observation mode system with high adaptability and high practicability is formed, and the orbit determination precision of the Beidou satellite is improved.

The invention provides a tunnel point position change automatic observation method and system combined with an AI algorithm, and relates to the technical field of tunnel monitoring, and the method comprises the steps: employing a speckle projector to form an irregular speckle pattern on a tunnel wall surface, and carrying out the multi-angle collection through a polarized light camera array, and obtaining the speckle intensity data; pre-embedding a coding microstructure generated based on quantum state superposition in the speckle pattern; establishing a speckle-stress correlation analysis model according to the speckle intensity data, and calculating three-dimensional displacement data in combination with the deformation data; and inputting the environmental monitoring data, the stress distribution data and the displacement data into the self-evolution heterogeneous feature network for analysis and prediction. According to the method, the measurement precision is improved by adopting the quantum coding speckles, the dynamic correlation analysis of multi-source data is realized through the self-evolution heterogeneous feature network, and the environmental adaptability and prediction accuracy of the system are enhanced.

The present invention discloses a method for optimizing first data from an image set of an object observed in an observation apparatus by reconfiguring at least one parameter of the observation apparatus; the observation apparatus comprises an image sensor above a water surface; the image set of the object is captured by the image sensor. The method comprises: detecting, by a processing unit, a predetermined event based on second data, wherein the second data is associated with the image set of the object; and determining, by the processing unit, an execution of an instruction based on the predetermined event, wherein the instruction comprises a reconfiguration message which reconfigures the at least one parameter of the observation apparatus corresponding to the execution of the instruction.

The invention relates to the technical field of electric power facility safety monitoring, in particular to a substation equipment foundation settlement observation system and method, and the system comprises an infrared monitoring array and a data processing terminal; the method comprises the following steps: acquiring and correcting real-time three-dimensional point cloud data of the basic surface of the equipment; obtaining an effective settling volume; environment parameters or equipment vibration signals are monitored in real time, the collection frequency of the infrared monitoring array is automatically adjusted according to the monitoring result, and an early warning signal is sent out when the effective settling volume exceeds a preset threshold value; through software and hardware cooperation, the problems that in the prior art, a monitoring blind area is large, the anti-interference capacity is weak, and a linkage mechanism is lacked are solved, an intelligent settlement observation solution is provided for a substation equipment foundation, and safe and stable operation of a power grid is effectively guaranteed.

The invention relates to the technical field of water gauge observation, and discloses a water gauge intelligent observation method and system based on cooperation of multiple unmanned devices. The observation method comprises the following steps: acquiring ship far and near scene images and ship draft data; identifying water line data in the far and near scene images of the ship and water gauge symbol data corresponding to the water line data based on an improved YOLOV5 neural network; performing error optimization on the water line data and the water gauge symbol data by adopting a clustering algorithm to obtain initial water gauge observation data; dynamically allocating weights to the ship draft data and the preliminary water gauge observation data by adopting a Kalman filtering network, and performing weighted fusion on the ship draft data and the preliminary water gauge observation data to obtain fused water gauge observation data; the Kalman filtering network comprises a real-time state estimation network and a dynamic weight fusion network. The problems that a traditional manual water gauge is low in observation efficiency and high in risk, and an existing single-sensor water gauge is poor in anti-interference capacity, limited in severe environment observation and the like can be solved.

The embodiment of the invention relates to the technical field of earth exploration, and discloses a magnetotelluric observation method, device and equipment in any observation direction and a medium, and the method comprises the steps: collecting electromagnetic field data of an electromagnetic field observation channel in magnetotelluric sounding in an observation area, and carrying out the data processing, and obtaining first electromagnetic field frequency spectrum data; the electromagnetic field observation channels comprise at least one electric field observation channel and two magnetic field observation channels, and the arrangement direction of each electric field observation channel and the arrangement direction of each magnetic field observation channel are non-orthogonal; vector transformation correction is carried out on the first electromagnetic field spectrum data to obtain second electromagnetic field spectrum data, and the second electromagnetic field spectrum data is orthogonal electromagnetic field data under an orthogonal coordinate system; and calculating an impedance tensor based on the second electromagnetic field spectrum data according to the number of the electric field observation channels. According to the method disclosed by the invention, the problem that traditional magnetotelluric observation is limited by complex terrain or observation conditions can be solved, and the application range of the magnetotelluric observation method is expanded.

The invention relates to the technical field of satellite navigation and ionosphere detection, in particular to a low-latitude ionosphere disturbance and non-uniform body multi-means collaborative detection and classification method. A multi-network cooperation-multi-source fusion observation mode is adopted, full space-time coverage of low-latitude ionosphere disturbance is achieved, in addition, a data fusion method based on physical constraints is applied, an ionosphere-middle atmosphere-troposphere multi-physics field coupling constraint mechanism is constructed, space-time consistency of data obtained through different observation means is optimized, and the low-latitude ionosphere disturbance is obtained. And finally, key characteristic parameters are extracted by using a multi-scale signal processing method, a disturbance characteristic matrix is constructed in combination with radar observation data (such as drift speed and spectral width), a'three-axis nine-element 'disturbance / non-uniform body classification standard is proposed firstly, then deep learning classification is used, accurate classification of low-latitude ionosphere disturbance is realized, and GNSS signal anomaly recognition capability is improved.

The application relates to the technical field of meteorological detection, in particular to a tornado cooperative observation method based on a detection device. The method comprises the following steps: performing real-time monitoring on regional micro-pressure and meteorological echoes of a suspicious target area through a micro-pressure gauge and an S-band new-generation weather radar, and performing strong convective occurrence matching prediction to obtain a strong convective occurrence prediction target area; performing solar radio calibration processing on corresponding radar detection equipment and triggering a tornado detection strategy cooperative instruction to perform strong convective target three-dimensional cooperative observation and target strong correlation area fusion division, so as to generate a strong convective target and strong correlation area radar field; performing strong convective feature analysis on the strong convective target and strong correlation area radar field, so as to generate a tornado and strong convective feature data set; acquiring a preset tornado feature library and performing tornado recognition analysis, so as to generate a tornado occurrence prone grid area. The application can improve the monitoring accuracy and real-time performance of the tornado detection process.

The invention discloses air tightness detection equipment for a hemodialysis pipeline, and belongs to the technical field of hemodialysis pipelines, the air tightness detection equipment for the hemodialysis pipeline comprises a glass box, a base fixed at the bottom of the glass box, a liquid outlet with a valve arranged at the central position of the bottom of the glass box, and a liquid supplementing pipe with a valve fixed on the side surface of the glass box, four supporting columns are installed at the bottom of the glass box, a glass inserting pipe is fixedly installed in the middle of the glass box, the two ends of the glass inserting pipe extend to the outer portion of the side face of the glass box and are in threaded connection with sealing plugs, and the rest part of the glass inserting pipe is located in the glass box. A plurality of through holes are formed in the side face, located in the glass box, of the glass inserting pipe, and an arc-shaped support is placed in the glass inserting pipe. The detection mode of the device does not damage the hemodialysis pipeline, the observation method is diversified, the operation is simple, the observation is convenient, the probability of negligence in the manual observation process is reduced, and the detection effect of the air tightness of the hemodialysis pipeline is improved.

The invention discloses a secondary path online modeling and real-time ANC system observation method without additional white noise, and the method comprises the following steps: monitoring the stability of an ANC system through a real-time observer, and preventing divergence caused by the change of a secondary path or an overlarge step length; a secondary path online modeling method is designed, secondary path online precise modeling without adding white noise is realized by combining an offline modeling initial value and online self-adaptive updating, and residual noise rise and human ear discomfort caused by introduction of the white noise in a traditional online modeling method are avoided; secondary path coupling is eliminated by using a loudspeaker time-sharing sounding strategy, and the modeling calculation amount is reduced; and an intelligent ANC system is constructed, a secondary path model is dynamically updated, the step length is adaptively adjusted, and stable operation of the system is ensured. According to the invention, the stability and the noise reduction performance of the ANC system are improved, and the calculation complexity and the human ear interference risk are reduced at the same time.

The application discloses a kind of based on GNSS's dam vertical displacement monitoring reference network automation observation method.It includes the following steps, step one: point site reconnaissance, instrument and observation pier selection;Step two: GNSS data preprocessing and scheme optimization;In GNSS vertical displacement automation monitoring, determine the optimal observation period, repair frequent small cycle jump;Step three: baseline solution and network adjustment method;In GNSS vertical displacement automation monitoring, troposphere delay correction, thermal expansion effect correction these models are applied to baseline solution, introduce prior height difference information in network adjustment, improve the accuracy and reliability of baseline solution.The application has the advantages of improving the vertical direction of GNSS baseline solution precision.The application also discloses a kind of based on GNSS's dam vertical displacement monitoring reference network automation observation platform.

The invention discloses a spatial distributed observation method based on irregular region geometric feature sampling, and belongs to the technical field of aerospace. The implementation method comprises the following steps: establishing a coordinate system for describing the motion of the spacecraft; establishing a spacecraft dynamic model under the coordinate system; six initial orbit elements of a satellite can be obtained based on existing low-orbit constellation orbit data, the spatial position is calculated through the orbit elements, and then position components are converted into latitude and longitude coordinates, namely sub-satellite point coordinates; defining vertex coordinates of the polygon, and constructing a planar polygon by connecting the vertex coordinates end to end; discretizing the internal region of the closed polygon; on the basis of the kinetic model, on the basis of the coordinates of the sub-satellite point and the center coordinates of the discrete sampling circle, calculating the characteristic distance from the sampling point in the observation area to the sub-satellite point, and on the basis of the size relationship between the characteristic distance and the radius of the observation view field, judging whether the irregular area can be successfully observed in a preset time constraint interval; therefore, spatial distributed observation is realized.

The invention provides a space debris bistatic detection data fusion method based on a Bayesian rule, and the method comprises the following steps: 1, building a detection model: obtaining a detection probability and detection data distribution through a space-based in-situ simulation detection model and a foundation narrow-beam radar simulation detection model based on the orbit parameters of given space debris; step 2, inputting detection data and performing inversion; and step 3, calculating the number of fragments by using a space debris bistatic detection data fusion method based on a Bayesian rule. According to the method, the limitation of a single observation mode is overcome, and the reliability of environment modeling is improved; compared with a single data source, the data obtained by the two detection modes can complement each other, and the obtained information is more complete; and theoretical support is provided for cooperation of fragment monitoring. Data fusion supports data sharing of space monitoring institutions of different countries and regions to cope with challenges brought by space debris together.

The invention discloses a buoy type wave observation method and device based on a GNSS and an accelerometer, and relates to the technical field of marine environment monitoring, and the method comprises the steps: collecting positioning data and inertial motion data, constructing a reference acceleration through the positioning data, carrying out the dynamic real-time zero offset compensation of the acceleration, correcting the attitude of a buoy according to the angular velocity information, and carrying out the real-time zero offset compensation of the acceleration. Wave motion parameters are calculated by using a multi-order spectral moment, a horizontal velocity component is extracted, the main wave direction of waves is estimated through a maximum entropy spectrum method, and the main wave direction and the wave motion parameters are jointly packaged and transmitted through a dual-mode communication link. Through multi-source synchronous acquisition, GNSS dynamic zero offset compensation, attitude correction, wave direction calculation and parameter inversion, the problem of low accuracy and reliability of observation data caused by long-term drifting of the wave observation buoy is cooperatively solved, and meanwhile, the maintenance difficulty and cost of the wave buoy are reduced. A core algorithm is realized through an edge processing architecture, so that the cost of a single buoy is greatly reduced, and possibility is provided for large-scale high-density networking.

The application discloses a car with a friction gap of safety clamps convenient to observe, which comprises a car body and a bracket frame arranged at the end of the car body, the bracket frame is movably matched with a guide rail, a safety clamp assembly is connected to the outer side of the bracket frame, a friction gap is left between the guide rail and the safety clamp assembly, the friction gap is a brake distance reserved between the safety clamp assembly and the guide rail, and the car further comprises an observation part, the line of sight of a human eye can pass through the observation part to observe the state of the friction gap in the inner side area of the bracket frame. The car with the friction gap of safety clamps convenient to observe can avoid the limitation of the guide rail on the observation angle during the observation process, can make the observation angle directly face the friction gap, and thus the observation precision and the observation efficiency are improved.

To provide a novel technique of observing change of a water surface different from a wave.SOLUTION: The observation program causes a computer to execute processing of: acquiring data of a radar image formed by periodically observing a sea area as an observation target by a radar device using electric waves of 0.01 m-2 m lengths; calculating an average image formed by averaging the radar image shown by the acquired data at every specific average time in order of the observation times; and outputting information based on the calculated average image.SELECTED DRAWING: Figure 6

The present invention relates to the technical field of geographic information systems, and discloses a sensor observation method and system based on Cesium. In this observation method, a viewing frustum is constructed using the PerspectiveFrustum function, and the parameters of different types of sensors are customized to adjust the observation perspective, and the target to be observed within the viewing frustum is observed, thereby simulating the sensor observation environment. The present invention solves the problems existing in the prior art, such as not supporting the customization of different types of sensors to adjust the current perspective and being difficult to observe various targets in a complex environment from multiple angles in real time.

The embodiment of the invention provides a motor speed observation method and device, electronic equipment and a storage medium, and the method comprises the steps: firstly, obtaining an electrical angle of a motor; then, gain processing is carried out based on the electrical angle, the observer proportional gain parameter and the observer integral gain parameter, and a proportional integral output value is obtained; next, feed-forward processing is carried out based on the electrical angle and a feed-forward gain parameter, a feed-forward output value is obtained, and the feed-forward gain parameter, an observer proportional gain parameter and an observer integral gain parameter are all generated based on the speed ring bandwidth of the speed ring; and finally, performing superposition processing based on the proportional integral output value and the feedforward output value to obtain a speed observation result of the motor, thereby greatly improving the observation real-time performance and accuracy of motor speed observation.

The application discloses a kind of observation method and device of droplet evolution characteristics under the dynamic constraint of fiber bundle.The rotating plate is hinged to the object table at one end, and the other end is fixed with a syringe propulsion mechanism through a lifting mechanism support and a lifting mechanism.The output end of the electric control elevator is hinged to the bottom of the rotating plate.Both the rotating plate and the lifting mechanism support are fixed with positive and negative tooth guide rail sliding table modules.Two L-shaped plates connected by one of the positive and negative tooth guide rail sliding table modules are both fixed with U-shaped plates.Two L-shaped plates connected by the other positive and negative tooth guide rail sliding table module are both fixed with T-shaped plates.The application can accurately, conveniently and multi-conditionally match the wetting performance detection of droplets on different state fiber bundles to complete the wetting research and experiment of super-hydrophobic materials such as carbon fiber.The application can observe the dynamic spreading evolution characteristics of magnetic nanodroplets on two carbon fiber bundles from the overhead angle and horizontal direction by using a miniature camera and a video camera.

The invention discloses an observation method and system for a navigation city greenhouse gas source and application, belongs to the field of environment monitoring, and is used for solving the technical problem that at present, effective and targeted monitoring on the city greenhouse gas source is lacked, and the method comprises the steps that an observation route for monitoring the greenhouse gas source in a navigation city is planned; constructing a navigation city greenhouse gas source distribution prediction model and training, carrying out current navigation monitoring to obtain current navigation monitoring data, and calculating by using the navigation city greenhouse gas source distribution prediction model to obtain next city greenhouse gas source prediction distribution; performing targeted underway monitoring planning and monitoring; according to the method, the observation route is planned, multiple times of underway monitoring are carried out according to the time sequence, accurate underway monitoring data are obtained, the data are fully mined, the prediction model is constructed and trained, the model is used for calculation, the next prediction distribution is obtained, the model is used for guiding subsequent targeted underway monitoring, and the monitoring efficiency and effect of the urban greenhouse gas source are improved.

The utility model relates to the technical field of glass tube production, in particular to an observation device for defect detection of a glass tube, and aims to solve the technical problems of inaccurate defect judgment and difficulty in observation and recording by a single person due to angle difference caused by manual operation in related technologies. The observation device comprises an observation box, a lighting mechanism and a glass tube bearing mechanism. The glass tube bearing mechanism is installed on the observation box and used for bearing a glass tube, and the glass tube is inserted into the observation box. The illumination mechanism is installed on the observation box and used for providing illumination for the glass tube. According to the observation device, the glass tube bearing mechanism and the lighting mechanism which are fixedly installed replace original hand holding and lighting, so that the observation angle and the lighting angle are standardized, and judgment errors caused by angle deviation which varies from person to person in the observation process are avoided. The technical problems that according to an existing glass tube defect observation method, due to angle difference caused by manual operation, defect judgment is not accurate, and observation and recording are not easy to conduct by a single person are solved.

The application discloses an improved flux linkage observer position sensor observation method and system, comprising the following steps: constructing a motor model, and estimating a flux linkage vector; performing amplitude normalization processing on the flux linkage vector, and constructing a quadrature error signal; inputting a phase-locked loop, and obtaining a motor angle and a motor estimated rotating speed. The application has high adaptability, is small in system dependence degree, and is convenient to transplant in different systems.

The invention relates to the field of remote sensing satellite observation task planning, in particular to a remote sensing satellite hotspot target observation method and system based on meteorological elements, which are used for carrying out priority division and analysis on tasks according to the conditions of importance degree, emergency degree, observation time window and the like of hotspot targets, determining hotspot target observation tasks, and carrying out real-time observation on the hotspot targets. And obtaining a corresponding geographic information data set. On the basis, simulation calculation of the satellite transit area is carried out in sequence, and a spatio-temporal data set of the hotspot observation target in the satellite transit process is generated. And in combination with CMA-GFS data, carrying out space-time screening on observable targets, determining hotspot targets with clear sky observation conditions, and forming a selected space-time data set. And finally, the whole process operation from satellite observation task planning, platform attitude maneuver and instrument pointing calculation to observation guidance generation and instruction uploading execution, and observation state tracking and effect evaluation is completed, invalid observation caused by cloudy and foggy weather is reduced, and the satellite observation efficiency is improved.

The application discloses a kind of robot joint adaptive super-spiral observation methods based on barrier function, belong to robot joint drive and motor non-inductive control technical field.This method faces the robot joint module using permanent magnet synchronous motor, constructs super-spiral observer, and designs the segmented adaptive gain law based on barrier function, on-line adjustment is carried out to observer parameter, so that position, speed estimation error can quickly converge to preset area in finite time, and disturbance upper limit does not need to be known in advance;Wherein, in the stage of greater error, observation gain is improved to speed up convergence speed, and gain is adaptively reduced after error enters boundary region to suppress chattering, so that rapidity and smoothness are considered.This method can reduce the dependence of robot joint module on position sensor, improve the compactness and reliability of module structure, reduce observation chattering, and improve the position and speed estimation accuracy under the condition of sudden load and parameter perturbation.

The invention discloses a full-irradiation aviation electromagnetic observation method. The method comprises the following steps: S1, scanning survey line topographic data of a target survey area; s2, dynamically controlling postures of a transmitting coil and a receiving coil based on the survey line topographic data in the S1, and collecting electromagnetic data of a target survey area; and S3, processing the electromagnetic data collected in the step S2, and carrying out random cross gradient constraint inversion to obtain geological structure information of the underground target in the target measurement area. The detection effect of an aviation electromagnetic method in a steep fluctuating environment is remarkably improved for mineral resources, engineering geophysical prospecting and hydrogeological prospecting in a complex terrain area through a full-irradiation aviation electromagnetic observation system in a complex fluctuating terrain and an isotropic resistivity cross constraint inversion method. According to the method, the interference of topographic factors on electromagnetic signals is effectively reduced, and the limitation of insufficient signal coverage in complex topographies in a traditional method is overcome, so that the data processing precision is improved, and richer underground information is obtained.

The present invention discloses a multi-satellite collaborative observation method and apparatus. The method includes obtaining a training data set, mission information, and time window information; fusing the training data set, mission information, and time window information to obtain collaborative observation information to be processed; and analyzing and calculating the mission information, time window information, and collaborative observation information to be processed to obtain target collaborative observation information. This application can accelerate the decision-making process for multi-satellite collaborative observation, thereby reducing the difficulty and time consumption of search optimization for satellite mission planning.

The invention discloses a sea-ground-air-space integrated marine intelligent collaborative three-dimensional networking observation method, which belongs to the technical field of marine environment observation, is used for intelligent collaborative three-dimensional networking observation, and comprises the following steps of: generating an optimal navigation track covering a target area of dynamic characteristics by using a multi-target optimization algorithm; each observation platform executes a measurement task according to the received collaborative observation instruction, and each observation platform carries an embedded processor to analyze the collected temperature, salinity and flow field data characteristics in real time; and the data processing center completes data assimilation and ocean mode simulation by using supercomputing parallel calculation, and generates and outputs high-resolution three-dimensional temperature, salinity and flow field analysis results of dynamic characteristics. The coverage rate and the quality of observation information are obviously improved; the observation precision and efficiency are obviously improved, and optimal configuration and high-precision observation of resources are realized; a finer three-dimensional structure is captured with less navigation mileage, data redundancy and energy consumption are reduced, and observation efficiency is improved.

The present invention is to observe in detail a structure caused by heating or cooling a structure outside a temperature limit of a high-performance camera using an image of the high-performance camera and a change in the structure caused by recovery to normal temperature. An observation device of a structure, characterized by comprising: a camera housing having a rectangular three-dimensional shape, the camera housing having a glass window of heat-resistant and / or cold-resistant glass on at least one face of the three-dimensional shape; a thermally insulating wall covering the camera housing except for the glass window; a fluid supply port and a fluid discharge port circulating a fluid for cooling or heating in at least the camera housing among the camera housing and the inside of the wall; and a camera disposed in the camera housing, the camera capturing a structure outside the camera housing as a still image or a moving image from the glass window, and externally outputting or internally storing data of the captured image.

The present application provides an earth observation system based on a single measuring station, and the working modes of its earth observation payload include: record first and then replay mode, in which the imaging window is earlier than the data transmission window, and the imaging window and the data transmission window do not overlap; replay first and then record mode, in which the data transmission window is earlier than the imaging window, and the data transmission window and the imaging window do not overlap, and the record file and the replay file are not the same file; replay first and then record and play mode, in which the imaging window is located in the data transmission window, and the record file and the replay file are not the same file; replay first and then quasi-real transmission mode: the data transmission window includes two data transmission segments, the first data transmission segment is used to replay historical files, and the second data transmission segment is used for quasi-real transmission, the imaging window does not overlap with the first data transmission segment, and partially overlaps with the second data transmission segment. The present application ensures the flexibility of the user's observation area, the timeliness of data, and the observation efficiency by designing a new payload mode, and effectively improves the earth observation efficiency of a single measuring station.